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Related Concept Videos

Doppler Effect - II01:05

Doppler Effect - II

The Doppler effect has several practical, real-world applications. For instance, meteorologists use Doppler radars to interpret weather events based on the Doppler effect. Typically, a transmitter emits radio waves at a specific frequency toward the sky from a weather station. The radio waves bounce off the clouds and precipitation and travel back to the weather station. The radio frequency of the waves reflected back to the station appears to decrease if the clouds or precipitation are moving...
Doppler Effect - I00:56

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The Doppler effect and Doppler shift were named after the Austrian physicist and mathematician Christian Johann Doppler in 1842, who conducted experiments with both moving sources and moving observers. Consider an observer standing on a street corner, observing an ambulance with a siren sound passing by at a constant speed. The observer experiences two characteristic changes in the sound of the siren. Initially, the sound increases in loudness as the ambulance approaches and decreases in...
Double Resonance Techniques: Overview01:12

Double Resonance Techniques: Overview

Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
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Atomic Spectroscopy: Effects of Temperature01:27

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Related Experiment Video

Updated: Jun 8, 2026

Fabrication of a Low-Cost, Fiber-Coupled, and Air-Spaced Fabry-Pérot Etalon
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Techniques for deriving Doppler temperatures from multiple-line Fabry-Perot profiles: an analysis.

J F Conner, R W Smith, G Hernandez

    Applied Optics
    |September 11, 2010
    PubMed
    Summary

    Directly fitting modeled profiles to Fabry-Perot data yields more reliable Doppler temperature measurements than Fourier-transform methods. This technique is less affected by noise, offering improved accuracy in spectroscopic analysis.

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    Area of Science:

    • Spectroscopy
    • Atmospheric Physics
    • Optical Instrumentation

    Background:

    • Fabry-Perot spectrometers are crucial for measuring atmospheric parameters.
    • Accurate determination of Doppler temperature is essential for understanding atmospheric dynamics.
    • Existing methods for Doppler temperature recovery face challenges with noise sensitivity.

    Purpose of the Study:

    • To compare the efficacy of two distinct techniques for recovering Doppler temperature from Fabry-Perot spectrometer data.
    • To evaluate the robustness of each method against observational noise.
    • To identify the optimal method for precise temperature retrieval from multi-line profiles.

    Main Methods:

    • Direct fitting of a modeled spectral profile to observational data.
    • Least-squares fitting to low-order Fourier-transform coefficients derived from the data.
    • Analysis of multiple-line profiles from Fabry-Perot spectrometer observations.

    Main Results:

    • The direct fitting method demonstrated superior consistency in Doppler temperature recovery.
    • Direct fitting proved significantly less sensitive to noise compared to the Fourier-transform method.
    • Unexpectedly, the Fourier-transform method's noise reduction capability did not translate to better temperature accuracy.

    Conclusions:

    • Direct profile fitting is the preferred technique for Doppler temperature determination using Fabry-Perot spectrometers.
    • The findings challenge the assumption that Fourier-transform coefficient truncation effectively mitigates noise for temperature retrieval.
    • This study provides a more robust approach for accurate atmospheric temperature measurements.